Multiobjective decision making strategy for selective albumin extraction from a rapeseed cold-pressed meal based on Rough Set approach
2022
Beaubier, Sophie | Defaix, Claire | Albe-Slabi, Sara | Aymes, Arnaud | Galet, Olivier | Fournier, Frantz | Kapel, Romain
This article proposes the application of multiobjective decision making strategy for selective albumin extraction by Pareto’s domain determination and ranking by Decision Engineering tool based on the Rough Set approach. In this study, both competing process performance indicators of rapeseed albumin extraction and quality of the solid residue remaining from this process were considered for an overall valorization of the rapeseed cold-pressed meal. The impact of extraction pH and NaCl concentration on three process performance indicators including the albumin extraction yield, the albumin content in the extract, and the phytic acid content in the remaining solid residue was studied. The results of the optimization approach showed that the high selectivity of rapeseed albumin extraction was to the detriment of the productivity of the process and the quality of the solid residue. The optimal conditions for selective rapeseed albumin extraction while producing a high-quality solid residue were identified at pH 2.0 and 0.11molL⁻¹ of NaCl concentration. Upon these conditions, good albumin extraction yield was achieved (55.5%) with a high selectivity (97.9% of albumins in the extract). The isolate obtained after purification exhibited suitable color, high solubility, promising emulsifying properties and good foaming properties, which is of interest for food applications. Besides, the identifying extraction conditions yielded a protein-rich solid residue (35.6% on dry matter basis) with reduced phytic acid content (3.6% on dry matter basis), which can be used for feed applications.
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